Skip to main content

vLLM plugin for Spyre hardware support

Project description

Spyre Plugin for vLLM

| Documentation | Users Forum | #sig-spyre |


IBM Spyre is the first production-grade Artificial Intelligence Unit (AIU) accelerator born out of the IBM Research AIU family, and is part of a long-term strategy of developing novel architectures and full-stack technology solutions for the emerging space of generative AI. Spyre builds on the foundation of IBM’s internal AIU research and delivers a scalable, efficient architecture for accelerating AI in enterprise environments.

The vLLM Spyre plugin (vllm-spyre) is a dedicated backend extension that enables seamless integration of IBM Spyre Accelerator with vLLM. It follows the architecture described in vLLM's Plugin System, making it easy to integrate IBM's advanced AI acceleration into existing vLLM workflows.

For more information, check out the following:

Getting Started

Visit our documentation:

Contributing

We welcome and value any contributions and collaborations. Please check out Contributing to vLLM Spyre for how to get involved.

Contact

You can reach out for discussion or support in the #sig-spyre channel in the vLLM Slack workspace or by opening an issue.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vllm_spyre-1.0.2.tar.gz (711.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vllm_spyre-1.0.2-py3-none-any.whl (67.9 kB view details)

Uploaded Python 3

File details

Details for the file vllm_spyre-1.0.2.tar.gz.

File metadata

  • Download URL: vllm_spyre-1.0.2.tar.gz
  • Upload date:
  • Size: 711.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for vllm_spyre-1.0.2.tar.gz
Algorithm Hash digest
SHA256 40c949e720b6c6bcf18eb11f60fa13a18165a1dd79224474f1736959ebf78359
MD5 fdf5815d375735cd1d4a5ad404092863
BLAKE2b-256 65f82e8c138186cee8bf73377ab66cb8cd3122ee6df1e2a19572f585dd1190c4

See more details on using hashes here.

Provenance

The following attestation bundles were made for vllm_spyre-1.0.2.tar.gz:

Publisher: build_and_publish.yaml on vllm-project/vllm-spyre

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file vllm_spyre-1.0.2-py3-none-any.whl.

File metadata

  • Download URL: vllm_spyre-1.0.2-py3-none-any.whl
  • Upload date:
  • Size: 67.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for vllm_spyre-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 1163f37c2a57374580cb34614f090e9afd7bce3b2144c250d29422ecfccdec67
MD5 6c5707fc51d6b1f6dacc1da6bb5b1ca8
BLAKE2b-256 6ff91cc70f90349be2aeeddd89b1637aafd066a605d3e7146b9fd6810705b2b9

See more details on using hashes here.

Provenance

The following attestation bundles were made for vllm_spyre-1.0.2-py3-none-any.whl:

Publisher: build_and_publish.yaml on vllm-project/vllm-spyre

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page